Policy Recommendations for Implementing AnalyticsAnalytics in City Government: How the Civic Analytics Network Cities Are Using Datato Support Public Safety, Housing, Public Health, and Transportation -- From improving public health outcomes to supporting safer transportation systems,analytics can offer new insights and improvements to city governance across coreissue areas. While the structure, application, and processes used to develop, iterate,and implement the ten examples of Civic Analytics Network projects detailed in thisreport vary significantly, there are common policies adopted and operating withineach that other cities can replicate. There is a need for more research and literatureon city-level analytics to help practitioners and theorists alike understand how datadrivendecision-making practices are operating within municipal governments. Thisreport concludes with six policy recommendations derived from the Civic AnalyticsNetwork's work in public health, transportation, housing, and public safety to helpspur and guide the effective development of analytics projects in other cities acrossthe U.S. Civic Analytics NetworkCAN_1dbeac46-966f-11e8-aa72-be53abe6e336Based at the Ash Center for Democratic Governance and Innovation at the Harvard Kennedy School and funded by the Laura and John Arnold Foundation, the Civic Analytics Network is an affiliation of chief data officers from the largest and most innovative municipalities in United States. They are open data stewards, internal consultants, and performance managers. The network seeks to advance the use of data and analytics in municipal governance through facilitation of in-person meetings among members and production of research and documented best practices. For more on the Civic Analytics Network, please visit civicanalyticsnetwork.org.Jessica A. GoverAuthor -- Jessica A. Gover is a research assistant and writer at the Harvard Ash Center supporting the Civic Analytics Network. Prior to joining the Ash Center, she conducted research on new approaches to data- and tech-enabled policy in the U.S. federal government, innovative public-private partnerships in New Zealand, and civic participation in the American jury system. She holds a Master’s degree from the University of Chicago and received her B.A. at Trinity College. Ash Center for Democratic Governance and InnovationThe Roy and Lila Ash Center for Democratic Governance and Innovation advances excellence and innovation in governance and public policy through research, education, and public discussion. The Ford Foundation is a founding donor of the Center. Three major programs support the Center's mission: The Program on Democratic Governance, the Innovations in Government Program, and the Rajawali Foundation Institute for Asia.Harvard Kennedy SchoolLaura and John Arnold FoundationThe Civic Analytics Network project, including this paper, is generously funded by the Laura and John Arnold Foundation. This report is an independent work product and the views expressed are those of the author and do not necessarily represent those of the funder.Stephen GoldsmithThe Civic Analytics Network is led by Professor Stephen Goldsmith, director of the Innovations in American Government Program at the Ash Center. Professor Goldsmith provided crucial insights for the development of the policy recommendations in this report.Ash Center StaffA sincere thank you to the following Ash Center staff members and Civic Analytics Network partners for their feedback and contributions to this report:Katherine Hillenbrandproject manager, Data-Smart City Solutions, Ash Center at the Harvard Kennedy SchoolLauren Haynesassociate director, Center for Data Science and Public Policy at the University of ChicagoSean ThorntonCivic Analytics Network program advisor, Ash Center at the Harvard Kennedy SchoolJoseph Walshdata scientist, Center for Data Science and Public Policy at the University of ChicagoBetter governance_1dbeadb8-966f-11e8-aa72-be53abe6e336To spur and guide the effective development of analytics projects in cities across the U.S. _1dbeae6c-966f-11e8-aa72-be53abe6e336Policy RoadmapProduce an Open Data Policy Roadmap_1dbeaf0c-966f-11e8-aa72-be53abe6e3361Open Data CommunityIn early 2017, the Civic Analytics Network published an open letter to the open data community offering guidelines to help advance government capabilities for data portal development and to help deliver on the promise of transparent governance.Civic Analytics Network In June 2018, Civic Analytics Network members reaffirmed their commitment to those eight guidelines, publishing a one-year later letter to the open data community.Adopting an open data policy can be a boon to rapidly, transparently, and collaboratively developing comprehensive analytics projects. Open data policies and portals enable city governments to operate with greater transparency to the public and to connect them directly to external researchers, algorithms, and/or datasets that can support more effective analytics project development. If advanced data use is a few steps down the road for a city, crafting an open data roadmap can help city government become more data-savvy to build towards future open data policy conversations. _1dbeafb6-966f-11e8-aa72-be53abe6e336Data LiteracyCreate Programs and Job Descriptions that Promote Broad Data Literacy_1dbeb056-966f-11e8-aa72-be53abe6e3362Data ScientistsCitiesWhether it is creating a CDO position, establishing an analytics team, or simply embedding a data scientist within a department, establishing a role for data expertise with the support of senior leadership can enable city officials to develop the analytics projects that they need most.City Hall PersonnelIn addition to bringing in data champions and expertise, cities can also improve internal capacities by designing training programs to provide critical professional development opportunities to city hall personnel.SF Data AcademySan Francisco's SF Data Academy, which provides a pathway for city employees to receive continuous professional development focused on data skills and analytics from within government, is a leading example in city-level analytics training programs.By creating job descriptions and new frameworks for programs to appeal to data scientists considering positions outside of government, cities can attract dynamic, data-literate personnel to embed and distribute data skills at various levels within city government._1dbeb0f6-966f-11e8-aa72-be53abe6e336Incentives, Collaboration & ConnectionsIncentivize and Enable Cross-Departmental Collaboration to Connect Personneland Data Resources from across City Government_1dbeb1a0-966f-11e8-aa72-be53abe6e3363Data ScientistsIt is important to establish pathways for data scientists to collaborate and receive input from the relevant department or agency, and, simultaneously, pathways to incentivize city personnel to engage with those new data science experts need to be established by supervisors or even from the bully pulpit.Government PersonnelGovernment personnel operate in a bureaucracy and it is important for their supervisors to establish space in their day-to-day responsibilities to help them "make the time" to engage on data-focused projects.Government SupervisorsBy incentivizing department or agency personnel to connect with data scientists within city hall, supervisors or even the bully pulpit can open up space within city staff's day-to-day schedule and performance requirements to enable them to pursue analytics solutions to core issues.Departmental PersonnelBeyond connecting departmental personnel to data scientists via substantive pathways for collaboration, cross-departmental engagement is also key.City DepartmentsWhile many city departments maintain useful data repositories, that data is often siloed or incompatibly structured, rendering analyses with data maintained by various departments infeasible. Establishing resources, tools, or policies to help streamline data standardization and warehousing can enable cross-departmental data sharing and is a critical facet of becoming a data-smart city.Los AngelesIn Los Angeles, GeoHub, the city’s open data platform, offers unprecedented access to the city's highly integrated data resources. GeoHub is a publicly available platform designed to allow the public to explore, visualize, and download location-based open data. It also allows departments across the city to share, access, and collaboratively utilize other departments' data. Other Civic Analytics Network members are working to replicate this platform in their cities. Developing an analytics project places data scientists in an internal consultant role, as they are typically situated outside of the department where that project will be implemented._1dbeb24a-966f-11e8-aa72-be53abe6e336Procedures & InsightsAdopt Enterprise-Wide Procedures that Facilitate Data-Driven Insights_1dbeb2f4-966f-11e8-aa72-be53abe6e3364Data Science ExpertsNew York CityFor example, in New York City, the Mayor's Office of Data Analytics (MODA) created the MODA Process Map to help departments develop data use practices and internal awareness.Project ManagersWhile these procedures can help streamline, stabilize, and embed data use practices across government, project managers must be mindful of potential blind spots, such as algorithmic biases, that may be unwittingly built into their models.Allegheny CountyAllegheny County, Pennsylvania, a county-level member of the Civic Analytics Network and home to the City of Pittsburgh, a network member, has developed a Data Warehouse to create a more efficient and data-driven environment for the delivery of human services. The Data Warehouse has enabled county administrators to learn more about individual clients and address gaps in coverage. Many Civic Analytics Network cities are now pursuing their first data warehouses, and this network-wide trend represents an important shift in practice from project-based data-use efforts to organization-wide strategic data practices and policies. City of PittsburghWhatever methods a city uses to encourage data analytics, adopting an effective project management process means establishing a policy framework that enables data science experts to design analytics projects with the support of the city’s legal, administrative, and oversight capacities. "Human-centered design" is a commonly used method among Civic Analytics Network cities and offers methods that help craft analytics projects that are responsive, equitable, transparent, and designed with community members in mind. To develop useful analytics projects, cities need enterprise-wide procedures, such as data usage practices, security protocols, or standardized legal and data sharing agreements._1dbeb3bc-966f-11e8-aa72-be53abe6e336Civic EngagementLink Civic Engagement with City Analytics_1dbeb470-966f-11e8-aa72-be53abe6e3365Chief Data OfficersThe PublicWhether an organization is analyzing datasets available on an open data portal,developing a data visualization, or scoping a predictive analytics project, the results any of these efforts yield are better crafted when co-created with the public.City ResidentsBy producing analytics models informed by direct input from city residents or developed in partnership with a civic tech group, cities will garner better service improvements and data-driven insights.Civic Tech GroupsKansas CityKansas City, MO, for example, uses a quarterly feedback mechanism called the Citizen Survey through which residents can both respond to prompt questions provided by the city and communicate their top priorities for the city. Citizen Survey is a leading example of a municipal citizen survey tool and has established a continuous feedback loop to link citizen perspectives to Kansas City's performance and services.Chief data officers may work within the walls of city hall, but they are members of a broader community and data ecosystem.The best analytics insights come when city government data use and civicengagement converge -- after all, the public is the constituency for city analytics._1dbeb52e-966f-11e8-aa72-be53abe6e336Equity & FairnessProduce Guardrails to Protect Equity and Fairness Issues_1dbeb632-966f-11e8-aa72-be53abe6e3366Joy BonaguroUnder the leadership of San Francisco's chief data officer and the new chair of the Civic Analytics Network, Joy Bonaguro, the network is developing a toolkit to help cities assess the risks and biases of algorithms.This toolkit focuses on algorithms developed both within city hall and by third-party vendors, and aims to help safeguard city analytics so that future data-driven efforts are able to produce fair and equitable solutions for the benefit of all community members.Analytics is a practical tool for overcoming resource shortages and for distilling vast and disparate data, but it can also lead to the reproduction of biases and inequities under the banner of data science. Establishing standards of practice and mechanisms that ensure clear and continuous engagement with the public are critical components for cities to maintain transparent, equitable governance, and for incorporating inclusive analytics practices into city government._1dbeb6f0-966f-11e8-aa72-be53abe6e3362018-08-02https://ash.harvard.edu/files/ash/files/281995_hvd_ash_paper_v4.pdfOwenAmburOwen.Ambur@verizon.net